Triple
T4020726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International DOI Foundation |
E91272
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
ISTIC
ISTIC is a member organization of the International DOI Foundation, contributing to the global management and implementation of Digital Object Identifiers.
|
E406996
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ISTIC | Statement: [International DOI Foundation, hasMember, ISTIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISTIC Context triple: [International DOI Foundation, hasMember, ISTIC]
-
A.
STAT
STAT is a U.S.-based media company and news site focused on in-depth coverage of health, medicine, and life sciences.
-
B.
Stat.
Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
-
C.
Statistics
Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
-
D.
STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
-
E.
IST
IST is the three-letter IATA airport code for Istanbul Airport, the main international gateway serving Istanbul, Turkey.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ISTIC Triple: [International DOI Foundation, hasMember, ISTIC]
Generated description
ISTIC is a member organization of the International DOI Foundation, contributing to the global management and implementation of Digital Object Identifiers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ISTIC Target entity description: ISTIC is a member organization of the International DOI Foundation, contributing to the global management and implementation of Digital Object Identifiers.
-
A.
STAT
STAT is a U.S.-based media company and news site focused on in-depth coverage of health, medicine, and life sciences.
-
B.
Stat.
Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
-
C.
Statistics
Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
-
D.
STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
-
E.
IST
IST is the three-letter IATA airport code for Istanbul Airport, the main international gateway serving Istanbul, Turkey.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c7fd474819097766194ca8d165d |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54dd51ef48190974bb190d32016bc |
completed | March 14, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_69b54e498320819088fea96b83564c69 |
completed | March 14, 2026, 12:02 p.m. |
Created at: March 9, 2026, 3:35 p.m.