Triple
T21983922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letterkenny Army Depot |
E542907
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LEAD
LEAD is a U.S. Army facility in Letterkenny, Pennsylvania, known for its logistics, maintenance, and munitions support operations.
|
E1512225
|
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: LEAD | Statement: [Letterkenny Army Depot, hasAbbreviation, LEAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEAD Context triple: [Letterkenny Army Depot, hasAbbreviation, LEAD]
-
A.
Lede
Lede is a municipality in the Denderstreek region of East Flanders, Belgium, known for its historic town center and local cultural traditions.
-
B.
Ledn
Ledn is the official station code used to identify Leiden Centraal railway station in the Netherlands.
-
C.
LEAB
LEAB is the ICAO airport code assigned to Albacete Air Base in Spain.
-
D.
Take the Lead
Take the Lead is a 2006 dance drama film inspired by the true story of a ballroom dancer who volunteers to teach inner-city high school students, blending classical ballroom with hip-hop.
-
E.
lead I
Lead I is a standard limb electrocardiogram (ECG) lead that records the heart’s electrical activity between the right and left arms.
- 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: LEAD Triple: [Letterkenny Army Depot, hasAbbreviation, LEAD]
Generated description
LEAD is a U.S. Army facility in Letterkenny, Pennsylvania, known for its logistics, maintenance, and munitions support operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEAD Target entity description: LEAD is a U.S. Army facility in Letterkenny, Pennsylvania, known for its logistics, maintenance, and munitions support operations.
-
A.
Lede
Lede is a municipality in the Denderstreek region of East Flanders, Belgium, known for its historic town center and local cultural traditions.
-
B.
Ledn
Ledn is the official station code used to identify Leiden Centraal railway station in the Netherlands.
-
C.
LEAB
LEAB is the ICAO airport code assigned to Albacete Air Base in Spain.
-
D.
Take the Lead
Take the Lead is a 2006 dance drama film inspired by the true story of a ballroom dancer who volunteers to teach inner-city high school students, blending classical ballroom with hip-hop.
-
E.
lead I
Lead I is a standard limb electrocardiogram (ECG) lead that records the heart’s electrical activity between the right and left arms.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708055c8190b626ce244e368296 |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d7a14448190b7797258d5ed6579 |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e18d4f48190bfb917c9c9109ea5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ee56684819082d2001b2e817ed8 |
completed | May 18, 2026, 1:44 a.m. |
Created at: April 16, 2026, 8:04 p.m.