Triple
T1405767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TH |
E31687
|
entity |
| Predicate | hasTwoLetterForm |
P2261
|
FINISHED |
| Object | TH |
—
|
LITERAL FINISHED |
How this triple was built (2 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: TH | Statement: [TH, hasTwoLetterForm, TH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwoLetterForm Context triple: [TH, hasTwoLetterForm, TH]
-
A.
hasThreeLetterForm
Indicates that an entity’s written or symbolic form consists of exactly three letters.
-
B.
hasTwoWordForm
Indicates that an entity is represented or expressed using a form consisting of exactly two words.
-
C.
hasContextualLetterForms
Indicates that the written form of a letter changes shape depending on its surrounding characters or position within a word.
-
D.
hasSecondWordOfExpandedForm
Indicates that the second word in the fully expanded (non-abbreviated) form of one entity is related to or associated with another entity.
-
E.
isTwoLetterCode
chosen
Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
- F. None of above.
Provenance (3 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bc55a08190a4dfe13a5378aff3 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.