Triple
T11751641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPMI |
E279419
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
XMS
XMS is a software tool associated with the D Programming language ecosystem, likely providing memory or system-related functionality used alongside DPMI.
|
E944922
|
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: XMS | Statement: [DPMI, relatedTo, XMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XMS Context triple: [DPMI, relatedTo, XMS]
-
A.
XAMS
XAMS is the Market Identifier Code (MIC) for Euronext Amsterdam, the primary stock exchange in the Netherlands.
-
B.
XNM
XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
-
C.
BXM
BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
-
D.
XM
XM is the IATA airline designator assigned to J-Air, a regional commuter airline based in Japan and affiliated with Japan Airlines.
-
E.
LXS
LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
- 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: XMS Triple: [DPMI, relatedTo, XMS]
Generated description
XMS is a software tool associated with the D Programming language ecosystem, likely providing memory or system-related functionality used alongside DPMI.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XMS Target entity description: XMS is a software tool associated with the D Programming language ecosystem, likely providing memory or system-related functionality used alongside DPMI.
-
A.
XAMS
XAMS is the Market Identifier Code (MIC) for Euronext Amsterdam, the primary stock exchange in the Netherlands.
-
B.
XNM
XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
-
C.
BXM
BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
-
D.
XM
XM is the IATA airline designator assigned to J-Air, a regional commuter airline based in Japan and affiliated with Japan Airlines.
-
E.
LXS
LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a13550081909a26f57b30d68e03 |
completed | April 28, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69f0319622c48190bee6c906f08c0a8c |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05ad36e4c8190b7239e5b33713369 |
completed | April 28, 2026, 6:59 a.m. |
Created at: April 8, 2026, 9:41 p.m.